Impulse Noise Removal from Digital Images- A Computational Hybrid Approach

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Impulse Noise Removal from Digital Images- A Computational Hybrid Approach

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References

15 Cites in Article
  1. 1. M Tulin Yıldırım,Alper Bas¸turk,M Yuksel (2008). Impulse Noise Removal From Digital Images by a Detail-Preserving Filter Based on Type-2 Fuzzy Logic. IEEE transactions on fuzzy systems, 920-928.
  2. 2. Tom Mélange,Mike Nachtegael,Etienne Kerre (2011). Fuzzy Random Impulse Noise Removal From Color Image Sequences. IEEE Transactions on Image Processing, 20(4), 959-970.
  3. 3. Wenbin Luo (2006). Efficient Removal of Impulse Noise from Digital Images. IEEE Transactions, 523-527.
  4. 4. Zhou Wang,David Zhang (1999). Progressive Switching Median Filter for the Removal of Impulse Noise from Highly Corrupted Images. IEEE transactions on circuits and systems-II: analog and digital signal processing, 78-80.
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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Prof M.Jayamanmadharao. 1970. "Impulse Noise Removal from Digital Images- A Computational Hybrid Approach". Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 13 (GJCST Volume 13 Issue F1).

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-F Classification I.4.1
Version of record

v1.2

Language
English
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Impulse Noise Removal from Digital Images- A Computational Hybrid Approach

Dr. M.Jayamanmadharao
Dr. M.Jayamanmadharao Andhra University, A.P., INDIA.